Unified. Flexible. Seamless.
With Compile’s pre-linked, cleansed and user-friendly data, commercial teams can spend more time on increasing conversions across entire customer lifecycle
Foundational data for all your commercial needs
Linked, enriched and analytics ready, Compile transforms messy and disparate datasets into an intuitive graph of healthcare providers and patients
Messy
Every large dataset, such as patient-level data (PLD), sales data and pharmacy claims have gaps due to partial or erroneous data fields. These need to be identified and cleansed before the data can be used.
Complex
Users of these datasets have to a steep learning curve to understand the data structure and build queries. Additionally multiple tables and a proliferation of fields require complex queries.
Incomplete
Presence of treating or associated providers (HCP/HCO) is critical in using claims-based data for any analytics. Yet these important fields aren’t filled in many instances, limiting provider and patient counts.
Disparate
Joining multiple data assets isn’t straight forward. In the absence of a consistent key across all data, users have to build custom matching rules. This is time consuming and prone to errors.
Compile’s Smart Data layer
Unified, linked and analytics-ready data that gives a complete and accurate view of providers
Data done right
No more data wrangling
Spend zero time cleaning data errors, imputing missing values, or unifying messy data sets for analysis
Patient, provider or account view
With affiliations embedded into the patient-level data, analyze your market at whichever level of granularity you need
Shorten time-to-insights
Fully linked data across all areas and a user friendly data model designed for plug-and-play analytics
Use data as you see fit
Compile’s data structure can scale-up or scale-down to your requirements; get only the data you need
Day-one access
Instant provisioning, user-friendly data structure and multiple access mechanisms: Compile’s data platform enables life science teams accelerate data value
Analytics-ready schema
Compile’s data model is designed for life science use-cases; pre-defined fields, compact tables and intuitive layout
Entities profiled
High capture longitudinal patient-level data for medical and pharmacy claims
100% Medicare longitudinal patient-level data for parts A, B and D
Visibility into patients’ diagnoses, diagnostic tests, assessments, vaccines, vitals, Rx
High capture longitudinal patient-level data for medical and pharmacy claims
Complete 360° intelligence on 2M+ healthcare professionals and over 800K facilities
Over 20M publications and 100K clinical trials linked to HCPs and sites (locations)
Normalized and cleansed payer names for channel or line-of-business analysis
Physician participation in over 800 committees, medical associations and patient advocacy tracked
Machine-learning driven that connects all coding standards (ICD-10, NDC, MeSH etc.)